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台湾老年人的饮食模式及其与社会环境和个体因素的关联:多层次分析。

Dietary Patterns among Older People and the Associations with Social Environment and Individual Factors in Taiwan: A Multilevel Analysis.

机构信息

School of Public Health, Taipei Medical University, Taipei 11031, Taiwan.

Research Center of Health Equity, College of Public Health, Taipei Medical University, Taiwan 11031, Taiwan.

出版信息

Int J Environ Res Public Health. 2022 Mar 27;19(7):3982. doi: 10.3390/ijerph19073982.

Abstract

Individual factors relating to dietary behaviors are widely explored. However, the effects of social environment on dietary patterns for the older people are less explored. The purpose of this study was to identify dietary patterns among older people in Taiwan and to examine the relationship of dietary patterns with social environment and individual factors. The current study used the 2013-2016 Nutrition and Health Survey in Taiwan. The sample was representative at the national and city levels. Only those who were aged 55 years old and above were included for analysis ( = 2922); the mean age of the participants was 68.62 (SD = 8.76). The city-level data, including population characteristics, food availability, and age-friendly city indicators, were obtained from the open data and survey report of government. Three dietary patterns were identified: high protein-vegetable (41.6%), high sweets and low protein-vegetables (37.9%), and high viscera and fats (20.5%). The results of multilevel multinomial logistic regressions showed that marital status, economic status, education, drinking alcohol, dietary belief, living a the city with more food availability, and bus accessibility were related to dietary patterns. Dietary patterns are related to the individual-level factors and social environment. Healthy dietary beliefs and age-friendly environments are beneficial to promoting healthy dietary patterns.

摘要

个体因素与饮食行为广泛相关。然而,社会环境对老年人饮食模式的影响研究较少。本研究旨在识别台湾老年人的饮食模式,并探讨饮食模式与社会环境和个体因素的关系。本研究使用了 2013-2016 年台湾营养与健康调查的数据。该样本在全国和城市层面具有代表性。仅纳入年龄在 55 岁及以上的人群进行分析(n=2922);参与者的平均年龄为 68.62 岁(SD=8.76)。城市层面的数据包括人口特征、食物供应情况和老年友好城市指标,这些数据来源于政府的公开数据和调查报告。确定了三种饮食模式:高蛋白-蔬菜(41.6%)、高糖-低蛋白-蔬菜(37.9%)和高内脏-脂肪(20.5%)。多水平多项逻辑回归的结果表明,婚姻状况、经济状况、教育程度、饮酒、饮食信念、生活在食物供应更多的城市以及公共汽车可达性与饮食模式有关。饮食模式与个体因素和社会环境有关。健康的饮食信念和老年友好的环境有助于促进健康的饮食模式。

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